Overview
AI regulatory frameworks are essential for guiding the responsible development and deployment of artificial intelligence technologies. These frameworks address critical issues such as ethics, data privacy, accountability, and transparency, ensuring that AI serves the public good while minimizing ris...
Key Terms
Example: AI ethics addresses issues like bias and fairness.
Example: GDPR is a law that enhances data privacy in Europe.
Example: Companies must be accountable for AI decisions.
Example: Transparent algorithms help users understand AI decisions.
Example: Explainable AI helps users trust automated decisions.
Example: Companies must ensure their AI complies with local laws.
Related Topics
Key Concepts
Ethics in AIData PrivacyAccountabilityTransparency